Monash Cybersecurity Reading Group


 

Welcome to the Monash Cybersecurity Reading Group (MCSRG) web page. We are a research group of academics and students, based at the Faculty of Information Technology, Monash University. We share a common interest in all aspects of cyber security and meet to read and discuss recent papers on topics of interest to the group. More information on the group's activities is available below. Group meetings times and discussion topics are advertised below. Meetings are usually held at Room 317, 29 Ancora Imparo Way, Clayton Campus, Monash University, unless otherwise advised. Visitors are welcome. For more information, please contact Ron Steinfeld (ron.steinfeld@monash.edu).

News

Group Meetings


Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/239016531 Or, go to https://monash.zoom.us/join and enter meeting ID: 239 016 531 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 239 016 531 International numbers available: https://monash.zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 239 016 531 Note: Your use of ZOOM is subject to the University IT Acceptable Use Policies. For information about how the university handles your personal information, please refer to the HR Privacy Collection Statement(Staff) or Student Privacy Collection Statement.

In this seminar, we present two discrete Gaussian sampling algorithms to address some of the issues above. The FACCT sampler (paper accepted to IEEE Transactions on Computers) is a fast, compact, and constant-time variant of the binary sampling algorithm to sample from zero centered discrete Gaussian distribution over integers. In addition, we present a compact and  scalable rejection sampling algorithm (paper currently on ePrint) to sample from an arbitrary non-zero centered discrete Gaussian distribution over integers, which is essentially a generalisation of an idea from Devroye's textbook. We show the advantages of our techniques by demonstrating the performance and comparing with existing schemes.

Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/345678105 Or, go to https://monash.zoom.us/join and enter meeting ID: 345 678 105 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 345 678 105 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 345 678 105 Note: Your use of ZOOM is subject to the University IT Acceptable Use Policies. For information about how the university handles your personal information, please refer to the HR Privacy Collection Statement(Staff) or Student Privacy Collection Statement.


Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/535631751 Or, go to https://monash.zoom.us/join and enter meeting ID: 535 631 751 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 535 631 751 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 535 631 751


Zoom Videoconference information (public access):
Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/535631751 Or, go to https://monash.zoom.us/join and enter meeting ID: 535 631 751 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 535 631 751 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 535 631 751


Zoom Videoconference information (public access):

Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/236260211 Or, go to https://monash.zoom.us/join and enter meeting ID: 236 260 211 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 236 260 211 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 236 260 211

Zoom Videoconference information (public access):
Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/535631751 Or, go to https://monash.zoom.us/join and enter meeting ID: 535 631 751 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 535 631 751 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 535 631 751


Zoom Videoconference information (public access):
Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to start or join. https://monash.zoom.us/j/535631751 Or, go to https://monash.zoom.us/join and enter meeting ID: 535 631 751 Join from a dial-in phone: Dial: +61 3 99059666 (+61 3 9905 ZOOM) or +61 2 8015 2088 Toll-free dial: 877 369 0926 (US/Canada only) Meeting ID: 535 631 751 International numbers available: https://zoom.us/u/ado7FEqMVG Join from a Video capable room system(H.323/SIP): Dial: 61262227588 (From within Monash only) or: 7588@182.255.112.21 (H323) or 7588@aarnet.edu.au (SIP) or 162.255.36.11 or 162.255.37.11 Meeting ID: 535 631 751








            Short biography of presenter: Daniel Xiapu Luo is an assistant professor in the Department of
            Computing at the Hong Kong Polytechnic University. His current
            research interests are in the areas of mobile and network security,
            software engineering, blockchain, and Internet measurement. His work
            was published in major academic conferences and journals (e.g., USENIX
            SEC, NDSS, ICSE, USENIX ATC, INFOCOM, DSN, IMC, TSE, TDSC, TIFS,
            etc.). He received four Best Paper Awards from INFOCOM 2018, ISPEC
            2017, ATIS 2017, ISSRE 2016, respectively, and one Best Student Paper
            Award from IFIP SEC 2007. Besides academia, his research has
            contributed to the industry (e.g., discovering vulnerabilities in
            applications, etc.) and appeared in major industrial conferences
            (e.g., HITCON, BlackHat, etc.).  Regular Presenting Group Members (in alphabetic order of first name):

  • Amin Sakzad
  • Bin Yu
  • Joseph Liu
  • Muhammed Esgin
  • Ron Steinfeld
  • Shabnam Kasra Kermanshahi
  • Shangqi Lai
  • Trung Dinh
  • Wilson Alberto Torres